Acer Swift SF314-43
Geekbench AI Score
1754
Single Precision Score
875
Half Precision Score
2321
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 03:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF314-43 |
| Motherboard | LN Sake_CA |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (Q)
|
96% |
1696
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
2347
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2483
2.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
4008
4.74 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
58% |
1280
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
3956
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3759
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4265
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7140
9.18 IPS |
|
|
Style Transfer (HP)
|
100% |
5680
7.30 IPS |
|
|
Style Transfer (Q)
|
87% |
7542
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1660
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
492
657.0 IPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
68% |
1351
26.1 IPS |
